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As drone warfare rapidly transforms military strategy across the globe, defense manufacturers are racing to create systems capable of stopping low-cost aerial threats before they reach critical infrastructure. One of the latest entrants into this growing battlefield technology sector comes from the Beretta Group, which is preparing to introduce an unusual yet highly aggressive counter-drone platform during the upcoming Eurosatory defense exhibition in Paris.
The new system, called “Livet,” combines automation, AI-assisted targeting, and multiple shotgun-based interception mechanisms into a single remote-controlled turret. While traditional anti-aircraft systems are often expensive and designed for larger airborne targets, Livet appears optimized specifically for the modern reality of small, agile, and inexpensive drones that are increasingly dominating conflicts in Ukraine and the Middle East.
Beretta Defense Technologies says the platform was developed to protect strategic assets and sensitive infrastructure from rapidly evolving unmanned aerial threats. The unveiling is expected to attract major attention from military delegations, defense contractors, and security agencies attending the June event in France.
At first glance, the Livet system resembles a compact anti-aircraft battery. Instead of missiles or autocannons, however, it uses eight Benelli “Drone Guardian” shotguns mounted onto a stabilized remote weapon station. This configuration is specifically designed to engage low-flying drones at short ranges where traditional missile systems may be considered economically impractical.
According to the manufacturer, the platform features automatic target tracking and remote engagement capabilities. Once a threat is detected, the AI-assisted targeting system can autonomously identify, track, and lock onto airborne objects with minimal operator intervention. The turret can reportedly react within seconds, making it suitable for defending military bases, airports, industrial facilities, and energy infrastructure.
One of the most interesting aspects of the Livet platform is its ammunition selection. The system fires tungsten cartridges capable of producing dense fragmentation patterns against small aerial targets. Beretta also states that the weapon can utilize airburst ammunition, allowing rounds to detonate midair and scatter fragments across a wider interception zone. This feature significantly increases the probability of neutralizing compact FPV drones that are otherwise difficult to hit with conventional firearms.
The platform is also designed for integration with external detection systems. It can connect to short-range radar units or radio-frequency scanners that monitor drone communications and movements in real time. Once a hostile signal or aerial object is identified, coordinates can be transferred directly to the Livet turret for immediate engagement.
The timing of the system’s release is no coincidence. Drone warfare has become one of the defining elements of modern armed conflict. In Ukraine, both Russian and Ukrainian forces have relied heavily on low-cost first-person-view drones to perform reconnaissance missions and precision strikes. Some FPV drones reportedly cost as little as $300, yet they have demonstrated the ability to destroy armored vehicles worth millions of dollars.
This shift has triggered alarm among NATO members and defense planners worldwide. Traditional air defense systems are often too expensive or too slow to counter swarms of cheap drones. As a result, many countries are now investing heavily in compact anti-drone technologies, ranging from electronic jammers and microwave weapons to AI-guided interception systems like Livet.
The defense sector has also witnessed a massive surge in startups focused entirely on counter-UAS technologies. Europe, in particular, has become a hotspot for rapid military innovation since the escalation of the war in Ukraine. Governments are now prioritizing affordable and scalable systems capable of defending both civilian and military infrastructure from aerial threats.
Eurosatory 2026 is expected to serve as a major showcase for these next-generation technologies. Scheduled between June 15 and June 19 in Paris, the exhibition will host senior military officials, defense corporations, and policymakers from around the world. Speakers expected at the event include General Pierre Schill, chief of staff of the French Army, alongside French armed forces minister Catherine Vautrin.
Industry analysts believe systems like Livet represent a broader transformation in battlefield philosophy. Instead of relying solely on high-value missile systems, militaries are increasingly embracing layered defense strategies where smaller, automated interception platforms can handle cheaper threats more efficiently.
What Undercode Says:
The Rise of Cheap Drone Warfare
The Livet system is not just another defense product launch. It is a direct response to a military reality that has shocked defense planners over the past three years. Cheap FPV drones are changing warfare faster than tanks or fighter jets can adapt.
A $300 drone destroying a multimillion-dollar armored vehicle creates a terrifying cost imbalance for modern armies. Traditional military doctrine was never designed for swarms of disposable airborne attackers operating at extremely low altitudes.
Why Shotguns Make Tactical Sense
At first, using shotguns against drones may sound primitive. In reality, it is extremely logical.
Small drones are difficult to hit because of their speed, size, and erratic movement patterns. A spread-based fragmentation approach increases interception probability compared to firing single high-velocity projectiles.
The addition of tungsten rounds and airburst ammunition transforms the platform into something much more advanced than a conventional firearm system. It essentially acts like a miniature flak cannon optimized for modern drone combat.
AI Automation Changes Everything
The biggest story here is not the shotgun array itself. It is the AI-assisted automation behind it.
Autonomous tracking drastically reduces human reaction time. In swarm scenarios, operators may have only seconds to respond before impact occurs. AI-assisted targeting allows systems like Livet to engage threats almost instantly after detection.
This is where future wars are heading:
Automated threat detection
AI-assisted targeting
Integrated sensor fusion
Autonomous engagement systems
Human operators increasingly become supervisors rather than direct shooters.
Infrastructure Protection Is the Real Market
While battlefield deployment gets headlines, the real commercial opportunity may involve infrastructure security.
Power plants, airports, oil refineries, government facilities, and data centers are now vulnerable to cheap drone attacks. Militias, criminal organizations, and even lone actors can launch modified drones with surveillance equipment or explosives.
That means counter-drone defense is no longer purely military. Civilian security markets are becoming equally important.
Europe’s Defense Industry Is Accelerating
The Ukraine conflict forced Europe to accelerate military innovation at an unprecedented pace. Systems that once took years to prototype are now reaching deployment much faster.
Companies are experimenting aggressively with:
AI-guided weapons
Electronic warfare
Autonomous defense platforms
Low-cost interception systems
Drone swarm defenses
Livet fits perfectly inside this new generation of battlefield technology.
Deep analysis :
Example RF drone detection workflow sudo rtl_power -f 2400M:2500M:1M -i 1 -e 1h drone_scan.csv
Detect suspicious drone communication signals python3 rf_analyzer.py --freq 2.4GHz --scan
Simulated radar feed integration
curl -X POST http://localhost:8080/radar_feed \n-d '{"target":"drone","distance":"120m","speed":"45kmh"}'
AI target tracking simulation python3 drone_tracker.py --autolock --target FPV
Example anti-drone monitoring ports netstat -tulnp | grep -E '8080|9000|443'
Analyze drone telemetry packets tcpdump -i wlan0 port 14550 -w mavlink_capture.pcap
MAVLink packet inspection wireshark mavlink_capture.pcap
Basic drone signal jammer simulation environment sudo python3 jammer_sim.py --band 2.4GHz
GPU accelerated object recognition example python3 yolo_detect.py --source drone_feed.mp4
Thermal drone identification pipeline python3 thermal_track.py --infrared --target UAV
The next evolution will likely involve fully autonomous anti-drone batteries capable of independently detecting, prioritizing, and neutralizing multiple targets simultaneously.
Military AI systems are moving toward decentralized battlefield defense where small smart turrets coordinate together in mesh networks. In future conflicts, drone swarms could fight autonomous anti-drone swarms with minimal human involvement.
This also introduces new cybersecurity concerns.
If AI-powered defense systems rely on network connectivity, sensor fusion, and automated engagement logic, attackers may eventually target the software layer itself. Hacking a counter-drone system could become as dangerous as hacking a missile battery.
Another major issue is identification accuracy. Distinguishing hostile drones from civilian devices in urban environments remains extremely difficult. False positives could create massive legal and operational consequences.
There is also a financial factor driving adoption.
Missiles costing hundreds of thousands of dollars cannot sustainably counter drones costing a few hundred dollars each. Defense companies now understand that affordable interception methods are essential for long-term strategic viability.
Livet demonstrates how defense engineering is adapting to that economic reality.
🔍 Fact Checker Results
✅ Beretta Defense Technologies confirmed the Livet system uses eight Benelli Drone Guardian shotguns with automated tracking features.
✅ Modern conflicts in Ukraine and the Middle East have significantly accelerated global anti-drone technology development.
❌ There is currently no public evidence confirming Livet has been combat-tested in active battlefield conditions.
📊 Prediction
📈 AI-assisted anti-drone systems will become standard infrastructure protection tools within the next five years.
📈 Future counter-drone platforms will likely combine radar, RF scanning, thermal optics, and autonomous targeting into unified defense networks.
📈 Low-cost drone warfare will continue forcing militaries to abandon expensive interception models in favor of scalable automated defenses.
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